CN114681729A

CN114681729A - Respiratory ventilation equipment and spontaneous respiration identification method

Info

Publication number: CN114681729A
Application number: CN202011639045.5A
Authority: CN
Inventors: 伍乐平; 张睿; 鲍旺
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2022-07-01

Abstract

The application relates to a respiratory ventilation device and a spontaneous respiration identification method, wherein the device comprises: a host; the air source interface is arranged on the host and is used for connecting an external air source; the breathing ventilation pipeline is connected with the air source interface at one side and connected with the target object at the other side, and is used for conveying the air provided by an external air source to the target object; the pressure detection unit is arranged on the breathing ventilation pipeline and used for detecting a pressure value corresponding to the breathing ventilation pipeline; the processor is arranged in the host and used for acquiring the pressure value detected by the pressure detection unit, estimating the flow rate corresponding to the breathing of the target object according to the pressure value and identifying the autonomous breathing of the target object according to the flow rate. The target object does not need to be provided with a flow sensor, and the small-intensity spontaneous respiration of the target object can be identified, so that the accuracy of the spontaneous respiration identification of the target object is improved.

Description

Respiratory ventilation equipment and spontaneous respiration identification method

Technical Field

The application relates to the technical field of medical equipment, in particular to a breathing and ventilating device and an autonomous respiration identification method.

Background

With the development of science and technology, medical devices such as ventilators and anesthesia machines are widely applied to the surgical treatment of target objects, and can provide ventilation support for the target objects. Generally, ventilation requirements of different target objects are greatly different, and spontaneous respiration intensities are different, so that detection and identification of the spontaneous respiration of the target objects are required.

Spontaneous breathing of a large intensity is easily detected and recognized for the target object, but spontaneous breathing of a small intensity is not easily detected and recognized for the target object. Taking an anesthesia machine as an example, when the anesthesia machine is used for performing anesthesia on animals with small sizes or small weights, the tidal volume of the animals is small, and the strength of spontaneous respiration is weak. Due to the limitation of cost, the anesthesia machines on the market at present are generally not provided with a flow sensor at the end of a target object, and the small-intensity spontaneous respiration of the target object is difficult to detect and identify.

Therefore, how to improve the accuracy of autonomous respiration recognition of a target object is an urgent problem to be solved.

Disclosure of Invention

The application provides a respiratory ventilation device and a spontaneous respiration recognition method, which can improve the accuracy of the spontaneous respiration recognition of a target object.

In a first aspect, the present application provides a respiratory ventilation apparatus comprising:

a host;

the air source interface is arranged on the host and is used for connecting an external air source;

the breathing ventilation pipeline is connected to the gas source interface at one side and connected to the target object at the other side, and is used for conveying gas provided by an external gas source to the target object;

the pressure detection unit is arranged on the breathing ventilation pipeline and is used for detecting a pressure value corresponding to the breathing ventilation pipeline; and

and the processor is arranged in the host and used for acquiring the pressure value detected by the pressure detection unit, estimating the flow rate corresponding to the breathing of the target object according to the pressure value and identifying the autonomous breathing of the target object according to the flow rate.

In a second aspect, the present application also provides a respiratory ventilation apparatus comprising:

a host;

the breathing ventilation pipeline is connected to the gas source interface at one side and connected to the target object at the other side, and is used for conveying gas provided by an external gas source to the target object; the respiratory ventilation pipeline is connected to one side of the target object, and a flow sensor is not arranged;

the anesthetic output device is used for mixing the stored anesthetic with the input gas and outputting the mixture to the breathing ventilation pipeline;

human-computer interaction means for setting the respiratory ventilation apparatus in a first trigger mode and/or a second trigger mode in response to user manipulation;

the pressure detection unit is arranged on the breathing ventilation pipeline and is used for detecting a pressure value corresponding to the breathing ventilation pipeline;

the processor is arranged in the host and used for carrying out spontaneous respiration identification on the target object according to the estimated flow rate of the respiration of the target object when the respiratory ventilation equipment is provided with a first trigger mode; and when the breathing and ventilating device is provided with a second trigger mode, the breathing and ventilating device is used for carrying out autonomous respiration recognition on the target object according to the pressure value detected by the pressure detection unit.

In a third aspect, the present application further provides a spontaneous respiration recognition method, including:

acquiring a pressure value detected by a pressure detection unit, wherein the pressure detection unit is arranged on a breathing and ventilating pipeline of the breathing and ventilating equipment;

according to the pressure value, estimating the flow rate corresponding to the respiration of the target object;

and according to the flow rate, carrying out spontaneous respiration recognition on the target object.

The application discloses a respiratory ventilation device and a spontaneous respiration identification method, which can estimate the flow rate corresponding to the respiration of a target object according to a pressure value so as to identify the spontaneous respiration of the target object according to the flow rate. Therefore, even if the target object end of the breathing and ventilating device is not provided with the flow sensor, the small-intensity spontaneous respiration of the target object can be detected and identified, and the accuracy of the target object spontaneous respiration identification is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a block diagram schematic diagram of a respiratory ventilation apparatus according to an embodiment of the present application;

FIG. 2 is a block diagram schematic diagram of another respiratory ventilation apparatus provided in an embodiment of the present application;

FIG. 3 is an interface schematic of a ventilation mode setting interface provided by an embodiment of the present application;

fig. 4 is a schematic flow chart of a spontaneous respiration recognition method according to an embodiment of the present application;

FIG. 5 is a schematic flow chart diagram of another spontaneous respiration recognition method provided by an embodiment of the present application;

fig. 6 is a schematic flow chart of another spontaneous respiration recognition method provided by an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The flowcharts shown in the figures are illustrative only and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

It is to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

Medical equipment such as ventilators and anesthesia machines are widely used for surgical treatment of a target object and can provide ventilation support for the target object. Generally, the ventilation requirements of different target objects are greatly different, the strength of spontaneous respiration is different, and detection and identification of the spontaneous respiration of the target objects are required. The spontaneous respiration of the target object with large intensity is easy to be detected and identified, but the spontaneous respiration of the target object with small intensity is not easy to be detected and identified. For example, due to the limitation of cost, the current market of the anesthesia apparatuses for animals generally does not have a flow sensor at the target end, and for small-sized animals or small-sized animals, the small-intensity spontaneous respiration of the target is difficult to be detected and identified.

In order to solve the above problems, the present application provides a respiratory ventilation apparatus and a spontaneous respiration recognition method, so as to improve the accuracy of the spontaneous respiration recognition of the target object by the respiratory ventilation apparatus.

Illustratively, the respiratory ventilator may be an anesthesia machine, a ventilator, or the like, such as a veterinary anesthesia machine, a veterinary ventilator. Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.

Referring to fig. 1, fig. 1 is a schematic block diagram of a respiratory ventilation apparatus according to an embodiment of the present application.

As shown in fig. 1, the respiratory ventilation apparatus 1000 includes a host 100, a gas source interface 200, a respiratory ventilation circuit 300, a pressure detection unit 400, and a processor 500. The air source interface 200 is disposed on the host 100 and is used for connecting an external air source; one side of breathing ventilation circuit 300 is connected to gas source interface 200, and the other side of breathing ventilation circuit 300 is connected to the target object, and is used for delivering the gas provided by the external gas source to the target object; the pressure detection unit 400 is disposed on the breathing ventilation pipeline 300 and is configured to detect a pressure value of the gas in the breathing ventilation pipeline 300; the processor 500 is disposed in the host 100 and configured to obtain a pressure value detected by the pressure detection unit 400, and estimate a flow rate corresponding to the breathing of the target object according to the pressure value, so as to perform spontaneous breathing identification of the target object according to the estimated flow rate. A greater estimated flow rate indicates a greater level of spontaneous respiratory effort by the target subject, and conversely, a lesser level of spontaneous respiratory effort by the target subject.

Illustratively, respiratory ventilation circuit 300 includes an exhalation circuit 310, an inhalation circuit 320, and a target-end ventilation circuit 330. The target object end ventilation pipeline 330 has one side respectively communicated with the exhalation pipeline 310 and the inhalation pipeline 320, and another side for connecting to the target object, and is used for delivering the gas provided by the external gas source to the target object through the inhalation pipeline 320, and outputting the gas exhaled by the target object to the exhalation pipeline 310, and at least part of the gas exhaled by the target object is exhausted out of the respiratory ventilation apparatus 1000 through the exhalation pipeline 310. Some of the exhalation lines 310 and inhalation lines 320 are disposed inside the main unit 100, and may be referred to as a machine circuit, and some of the other lines are disposed outside the main unit 100.

The pressure detection unit 400 may be disposed on the exhalation line 310, in which case the pressure detection unit 400 is used for detecting a pressure value in the exhalation line 310. Alternatively, the pressure detection unit 400 may be disposed on the suction pipe 320, in which case the pressure detection unit 400 is used to detect the pressure value in the suction pipe 320. When the pressure detection unit 400 is installed in the exhalation line 310 or the inhalation line 320, it may be installed in a line segment inside the main body, i.e., in a line segment of a circuit part of the machine, or in a line segment outside the main body, i.e., in a patient line segment connecting the main body and the patient. Alternatively, the pressure detection unit 400 is disposed on the target end vent line 330, that is, the pressure detection unit 400 is disposed near the target end, in which case the pressure detection unit 400 is used to detect the pressure value in the target end vent line 330. Illustratively, the pressure detection unit 400 includes, but is not limited to, a pressure sensor, etc.

In some embodiments, the pressure detection unit 400 is configured to: detecting a pressure value in the breathing ventilation pipeline in each detection period; the processor 500 is configured to: acquiring a first pressure value detected by the pressure detection unit in a current detection period and a second pressure value detected in a last detection period; calculating a pressure difference between the first pressure value and the second pressure value; and estimating the flow rate corresponding to the respiration of the target object according to the pressure difference.

Based on the detection period corresponding to the pressure detection unit 400, the pressure detection unit 400 detects the pressure value in the breathing ventilation circuit 300 in each detection period. That is, when the pressure detecting unit 400 is disposed on the expiratory line 310, the pressure detecting unit 400 detects the pressure value in the expiratory line 310 in each detection period; when the pressure detection unit 400 is disposed on the suction line 320, the pressure detection unit 400 detects a pressure value in the suction line 320 in each detection period; when the pressure detecting unit 400 is disposed on the target side vent line 330, the pressure detecting unit 400 detects a pressure value in the target side vent line 330 in each detection cycle.

In the current detection period, the processor 500 obtains the pressure value detected by the pressure detection unit 400 in the current detection period and obtains the pressure value detected by the pressure detection unit 400 in the last detection period. Illustratively, after the pressure detection unit 400 detects the pressure value in the breathing ventilation circuit 300 in each detection period, the detected pressure value is stored, and the processor 500 obtains the stored pressure value detected by the pressure detection unit 400 in the last detection period. For convenience of description, hereinafter, the pressure value detected by the pressure detection unit 400 in the current detection period is referred to as a first pressure value, and the pressure value detected by the pressure detection unit 400 in the last detection period is referred to as a second pressure value.

After acquiring a first pressure value detected by the pressure detection unit 400 in a current detection period and a second pressure value detected by the pressure detection unit 400 in a previous detection period, the processor 500 calculates a pressure difference between the first pressure value and the second pressure value. For example, if the processor 500 obtains that the first pressure value is P1 and the second pressure value is P0, the pressure difference Δ P between the first pressure value P1 and the second pressure value P0 is calculated as: Δ P ═ P1-P0. Then, the processor 500 estimates the flow rate corresponding to the breathing of the target object according to the calculated pressure difference Δ P.

In some embodiments, the processor 500 is configured to: and inputting the pressure difference into a preset flow rate estimation model, and outputting the flow rate corresponding to the breathing of the target object.

The flow rate estimation model can be manually set through experience, can be obtained after offline and offline training, or can be identified online in real time. The flow rate estimation model represents a correspondence between pressure changes and flow in the breathing circuit 300, and is illustratively a first order model or a higher order model. And inputting the calculated pressure difference delta P into a flow rate estimation model for processing, and outputting the flow rate corresponding to the respiration of the target object.

In some embodiments, the processor 500 is configured to: acquiring pipeline parameters corresponding to the breathing ventilation pipeline, wherein the pipeline parameters comprise elastic parameters and resistance parameters; and calculating to obtain the flow rate corresponding to the breathing of the target object according to the pressure difference and the pipeline parameters.

The breathing ventilation circuit 300 may correspond to circuit parameters including, but not limited to, an elasticity parameter C, a resistance parameter R, and the like. The processor 500 calculates and obtains the flow rate corresponding to the breathing of the target subject according to the calculated pressure difference Δ P and the circuit parameters such as the elastic parameter C and the resistance parameter R corresponding to the breathing ventilation circuit 300. For example, a product value of the pressure difference Δ P and the elasticity parameter C is calculated, and the product value is determined as the flow rate corresponding to the breathing of the target subject.

In some embodiments, the processor 500 is configured to: and calculating the obtained pressure difference and the flow rate corresponding to the pipeline parameters according to the preset mapping relation among the pressure difference, the pipeline parameters and the flow rate.

For example, the preset mapping relationship among the pressure difference, the pipeline parameters and the flow rate is as follows: Δ P ═ F × R + V/C, where Δ P is the pressure difference, F is the flow rate, R is the resistance parameter, V is the volume change, and C is the elasticity parameter of the breathing circuit 300. And substituting the pressure difference delta P obtained by calculation, and the resistance parameter R and the elasticity parameter C of the breathing ventilation pipeline 300 into the mapping relation to calculate the flow rate F corresponding to the breathing of the target object.

In some embodiments, the processor 500 is configured to: and according to a fitting compensation strategy, performing compensation processing on the estimated flow rate to obtain the corrected flow rate.

The pressure detecting unit 400 detects different pressure values at different positions of the expiratory line 310, the inspiratory line 320, the target ventilation line 330, and the like, and thus the estimated flow rate is different and deviated from the actual flow rate. For example, if the pressure detection unit 400 is disposed on the exhalation line 310/inhalation line 320 and the distance from the target object is relatively far, the estimated flow rate may be smaller than the actual flow rate. Therefore, after the corresponding flow velocity is obtained by calculation and estimation, compensation processing is performed on the estimated flow velocity according to a preset fitting compensation strategy, for example, when the estimated flow velocity is calculated based on a first-order model, linear compensation can be performed on the estimated flow velocity to obtain a corrected flow velocity, and the corrected flow velocity is closer to the actual flow velocity, so that the accuracy of autonomous respiration recognition of the target object can be further improved.

In some embodiments, respiratory ventilation apparatus 1000 further comprises a flow detection unit 600, wherein flow detection unit 600 is disposed within host 100, and flow detection unit 600 is configured to detect a flow at the host side. Illustratively, the flow sensing unit 600 includes, but is not limited to, a flow sensor, etc. The processor 500 is configured to obtain the flow detected by the flow detection unit 600, and correct the estimated flow rate according to the flow detected by the flow detection unit 600, so as to obtain a corrected flow rate.

According to the flow detected by the flow detection unit 600 and the corresponding detection duration, the flow speed of the host side can be calculated and obtained, and the estimated flow speed is corrected based on the flow speed of the host side, for example, the estimated flow speed is linearly compensated to obtain the corrected flow speed, and the corrected flow speed is more accurate, so that the accuracy of the target subject spontaneous respiration recognition is further improved.

The embodiment of the application also provides a respiratory ventilation device. As shown in fig. 2, the respiratory ventilation apparatus 1000 comprises a main body 100, an air source interface 200, a respiratory ventilation circuit 300, a pressure detection unit 400, a processor 500, an anesthetic output device 700, and a human-machine interaction device 800. The air source interface 200 is disposed on the host 100 and is used for connecting an external air source; one side of respiratory ventilation circuit 300 is connected to gas source interface 200, and the other side of respiratory ventilation circuit 300 is connected to the target object, for delivering the gas provided by the external gas source to the target object; wherein, the target object end of the breathing ventilation pipeline is not provided with a flow sensor; the anesthetic output device 700 is used for mixing the stored anesthetic with the input gas and outputting the mixture to the breathing ventilation pipeline 300, the fresh gas input to the breathing ventilation pipeline from an external gas source can be oxygen, air, laughing gas and the like, and the anesthetic output device is used for mixing the stored anesthetic with the fresh gas provided by the external gas source and outputting the mixture; the human-computer interaction device 800 is used for responding to user operation to set the respiratory ventilation device 1000 into a first trigger mode and/or a second trigger mode; the pressure detection unit 400 is disposed on the breathing ventilation circuit 300 and is configured to detect a pressure value corresponding to the breathing ventilation circuit 300; the processor 500 is disposed in the host 100, and is configured to perform spontaneous respiration recognition of the target subject according to the estimated flow rate of respiration of the target subject when the respiratory ventilation apparatus 1000 is set in the first trigger mode, and perform spontaneous respiration recognition of the target subject according to the pressure value detected by the pressure detection unit 400 when the respiratory ventilation apparatus 1000 is set in the second trigger mode.

The main body 100, the air source interface 200, the breathing ventilation circuit 300 and the pressure detection unit 400 are as described in the above embodiments, and are not described herein again.

Human-machine-interaction device 800 sets respiratory ventilator 1000 to the first trigger mode and/or the second trigger mode in response to user manipulation. The first trigger mode corresponds to flow rate triggering, and the second trigger mode corresponds to pressure triggering.

Illustratively, respiratory ventilator 1000 includes a display screen, and in actual operation, the ventilation mode setting interface is displayed by displaying a ventilation mode setting interface on the display screen of respiratory ventilator 1000. For example, as shown in fig. 3, the ventilation mode setting interface includes corresponding parameter setting options in a plurality of ventilation modes (PCV pressure controlled ventilation mode, VCV volume controlled ventilation mode, SIMV synchronized intermittent commanded ventilation mode, etc.), and the parameter setting options include tidal volume, respiratory rate, respiratory ratio, positive end expiratory pressure, flow trigger thresholds, and/or pressure trigger thresholds, etc. The user may perform corresponding operations based on the ventilation mode setting interface, for example, as shown in fig. 3, the threshold for flow rate triggering may be selectively set in the VCV mode, and the subsequent respiratory ventilator 1000 performs recognition of spontaneous breathing according to the first trigger mode. In an embodiment not shown, a pressure trigger threshold may be selectively set in the VCV mode, and the respiratory ventilation apparatus 1000 performs the identification of spontaneous breathing in accordance with a second trigger mode. In one example, a pressure-triggered threshold and a flow-triggered threshold may also be set simultaneously, with respiratory ventilator 1000 supporting both triggering regimes simultaneously in operation.

When the respiratory ventilator 1000 is set to the first trigger mode, the processor 500 performs spontaneous breath identification of the target subject based on the estimated flow rate of breathing of the target subject. Illustratively, the respiratory ventilator 1000 includes a flow detection unit 600 disposed in the main body 100, and the processor 500 may estimate a flow rate of breathing of the target subject according to a pressure value obtained by the pressure detection unit by detecting a flow at the main body side through the flow detection unit 600, and then perform spontaneous breath identification of the target subject according to the flow rate. How to estimate the flow rate of the target subject's breath based on the pressure value is described with reference to fig. 1, and will not be described again.

When the respiratory ventilation apparatus 1000 is set to the second trigger mode, the processor 500 obtains the pressure value detected by the pressure detection unit 400, and estimates a flow rate corresponding to the breathing of the target subject according to the pressure value, so as to perform the spontaneous breathing identification of the target subject according to the estimated flow rate. The specific manner of performing the spontaneous respiration recognition of the target object by the processor 500 according to the pressure value detected by the pressure detection unit 400 can refer to the above embodiments, and is not described herein again.

It is to be understood that the above-described nomenclature for the components of the respiratory ventilator 1000 is for identification purposes only, and does not limit the embodiments of the present application accordingly.

The spontaneous respiration recognition method provided by the embodiments of the present application will be described in detail below based on the respiratory ventilator 1000. It should be noted that the respiratory ventilator 1000 in fig. 1 to 2 does not constitute a limitation to the application scenario of the spontaneous respiration recognition method.

Referring to fig. 4, fig. 4 is a schematic flowchart of a spontaneous respiration recognition method according to an embodiment of the present application. As shown in fig. 4, the spontaneous respiration recognition method specifically includes step S101 and step S103.

S101, obtaining a pressure value detected by a pressure detection unit, wherein the pressure detection unit is arranged on a breathing and ventilating pipeline of the breathing and ventilating device.

For example, a corresponding pressure detection unit, such as a pressure sensor, is provided on the breathing circuit of the breathing apparatus. The breathing ventilation pipeline comprises an breathing pipeline, an inspiration pipeline and a target object end ventilation pipeline. When the pressure detection unit is arranged on the expiratory pipeline, the pressure value in the expiratory pipeline detected by the pressure detection unit is obtained. When the pressure detection unit is arranged on the air suction pipeline, the pressure value in the air suction pipeline detected by the pressure detection unit is obtained. When the pressure detection unit is arranged on the target object end vent pipeline, the pressure value in the target object end vent pipeline detected by the pressure detection unit is obtained.

In some embodiments, the pressure detection unit detects a pressure value within the breathing ventilation circuit for each detection cycle. That is, when the pressure detection unit is arranged on the expiratory pipeline, the pressure detection unit detects the pressure value in the expiratory pipeline in each detection period; when the pressure detection unit is arranged on the air suction pipeline, the pressure detection unit detects the pressure value in the air suction pipeline in each detection period; when the pressure detection unit is arranged on the target object end ventilation pipeline, the pressure detection unit detects the pressure value in the target object end ventilation pipeline in each detection period.

And S102, estimating the flow rate corresponding to the breathing of the target object according to the pressure value. Based on the pressure values corresponding to the breathing ventilation pipeline in a plurality of detection periods detected by the pressure detection unit, the flow rate corresponding to the breathing of the target object is estimated through the change of the pressure values.

In some embodiments, as shown in fig. 5, step S101 may include sub-step S1011, and step S102 may include sub-step S1021 and sub-step S1022.

S1011, acquiring a first pressure value detected by the pressure detection unit in the current detection period and a second pressure value detected in the last detection period;

s1021, calculating the pressure difference between the first pressure value and the second pressure value;

and S1022, estimating the flow rate corresponding to the breathing of the target object according to the pressure difference.

Illustratively, a first pressure value detected by the pressure detection unit in the current detection period is acquired, and a second pressure value detected by the pressure detection unit in the last detection period is acquired. And then, calculating the pressure difference between the first pressure value and the second pressure value. For example, if the first pressure value P1 and the second pressure value P0 are obtained, the pressure difference Δ P between the first pressure value P1 and the second pressure value P0 is calculated as: Δ P ═ P1-P0. And then, estimating the flow rate corresponding to the respiration of the target object according to the calculated pressure difference delta P.

In some embodiments, the calculated pressure difference is input into a preset flow rate estimation model, and the flow rate corresponding to the respiration of the target subject is output.

The flow rate estimation model represents a corresponding relationship between a pressure change and a flow of the breathing ventilation circuit, and is exemplarily a first-order model or a high-order model.

In some embodiments, a circuit parameter corresponding to the breathing ventilation circuit is obtained, and the flow rate corresponding to the breathing of the target subject is calculated according to the calculated pressure difference and the circuit parameter. The parameters of the breathing ventilation circuit include, but are not limited to, an elastic parameter C, a resistance parameter R, and the like.

For example, the mapping relationship between the preset pressure difference, the pipeline parameter and the flow rate is as follows: Δ P ═ F × R + V/C, where Δ P is the pressure differential, F is the flow rate, R is the resistance parameter, V is the volume change, and C is the elasticity parameter of the breathing circuit. And substituting the pressure difference delta P obtained by calculation, and the resistance parameter R and the elasticity parameter C of the breathing ventilation pipeline into the mapping relation to calculate and obtain the flow rate F corresponding to the breathing of the target object.

In some embodiments, the flow rate corresponding to the breathing of the target subject is corrected after the flow rate is obtained. For example, according to the fitting compensation strategy, the estimated flow rate is compensated to obtain the corrected flow rate. The corrected flow rate is closer to the actual flow rate.

In some embodiments, as shown in fig. 6, step S102 may be followed by step S104 and step S105.

And S104, acquiring the flow detected by a flow detection unit arranged in the host of the respiratory ventilation equipment.

Illustratively, a flow detection unit, such as a flow sensor, is disposed within the host of the respiratory ventilator. The flow rate on the host side is detected by a flow rate detection unit (flow rate sensor) provided in the host.

And S105, correcting the estimated flow speed according to the flow to obtain the corrected flow speed.

And after the flow detected by the flow detection unit is obtained, correcting the estimated flow speed according to the detected flow to obtain the corrected flow speed. For example, the flow rate at the host side can be calculated and obtained according to the flow rate detected by the flow detection unit and the corresponding detection duration, and the estimated flow rate is corrected based on the flow rate at the host side, for example, the estimated flow rate is linearly compensated to obtain a corrected flow rate, which is more accurate.

S103, according to the flow rate, the spontaneous respiration recognition of the target object is carried out.

The magnitude of the flow rate reflects the strength of the spontaneous respiration effort of the target object, and the spontaneous respiration recognition of the target object is realized according to the estimated flow rate. A greater estimated flow rate indicates a greater level of spontaneous respiratory effort by the target subject, and conversely, a lesser level of spontaneous respiratory effort by the target subject.

Illustratively, the spontaneous respiration recognition of the target subject is performed based on the corrected flow rate. The corrected flow velocity is closer to the real flow velocity, so that the accuracy of the autonomous respiration recognition of the target object is further improved.

The spontaneous respiration recognition method provided by the embodiment is applied to respiratory ventilation equipment, wherein a respiratory ventilation pipeline of the respiratory ventilation equipment is provided with a pressure detection unit, a pressure value detected by the pressure detection unit is obtained, a flow rate corresponding to the respiration of a target object is estimated according to the obtained pressure value, and the spontaneous respiration recognition of the target object is performed according to the estimated flow rate. Therefore, even if the target object end is not provided with the flow sensor, the small-intensity spontaneous respiration of the target object can be detected and identified, and the accuracy of the spontaneous respiration identification of the target object is improved.

While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A respiratory ventilation apparatus, comprising:

a host;

2. A respiratory ventilation apparatus, comprising:

a host;

the processor is arranged in the host and used for carrying out spontaneous respiration identification on the target object according to the estimated flow rate of the respiration of the target object when the respiratory ventilation equipment is provided with a first trigger mode; and when the breathing ventilation equipment is provided with a second trigger mode, the breathing ventilation equipment is used for carrying out autonomous respiration recognition on the target object according to the pressure value detected by the pressure detection unit.

3. The apparatus of claim 1 or 2, wherein the pressure detection unit is configured to: detecting a pressure value in the breathing ventilation pipeline in each detection period;

the processor is configured to:

acquiring a first pressure value detected by the pressure detection unit in a current detection period and a second pressure value detected in a last detection period;

calculating a pressure difference between the first pressure value and the second pressure value;

and estimating the flow rate corresponding to the respiration of the target object according to the pressure difference.

4. The device of claim 3, wherein the processor is configured to:

and inputting the pressure difference into a preset flow rate estimation model, and outputting the flow rate corresponding to the breathing of the target object.

5. The apparatus of claim 4, wherein the flow rate estimation model characterizes a correspondence between pressure changes and flow of the respiratory ventilation circuit, the flow rate estimation model being a first order model or a higher order model.

6. The device of claim 3, wherein the processor is configured to:

acquiring pipeline parameters corresponding to the breathing ventilation pipeline, wherein the pipeline parameters comprise elastic parameters and resistance parameters;

and calculating to obtain the flow rate corresponding to the breathing of the target object according to the pressure difference and the pipeline parameters.

7. The device of claim 6, wherein the processor is configured to:

and calculating the obtained pressure difference and the flow rate corresponding to the pipeline parameters according to the preset mapping relation among the pressure difference, the pipeline parameters and the flow rate.

8. The device of claim 1, wherein the processor is configured to:

and according to a fitting compensation strategy, performing compensation processing on the estimated flow rate to obtain the corrected flow rate.

9. The apparatus of claim 1, wherein the respiratory ventilation apparatus further comprises a flow detection unit disposed within the host for detecting flow at the host side; the processor is further configured to:

acquiring the flow detected by the flow detection unit;

and correcting the estimated flow speed according to the flow to obtain the corrected flow speed.

10. The apparatus of claim 1 or 2, wherein the respiratory ventilation line comprises an exhalation line, an inhalation line, and a target-side ventilation line, and wherein the pressure detection unit is disposed on the exhalation line, or the pressure detection unit is disposed on the inhalation line, or the pressure detection unit is disposed on the target-side ventilation line.

11. A method of spontaneous breath identification, comprising:

acquiring a pressure value detected by a pressure detection unit, wherein the pressure detection unit is arranged on a breathing pipeline of the breathing and ventilating device;

estimating the flow rate corresponding to the breathing of the target object according to the pressure value;

12. The method according to claim 11, wherein the target object obtaining the pressure value detected by the pressure detection unit comprises:

the estimating of the flow rate corresponding to the breathing of the target object according to the pressure value comprises:

13. The method of claim 11, wherein estimating a flow rate corresponding to a target subject's breath based on the pressure value comprises:

acquiring the flow detected by a flow detection unit arranged in a host of the respiratory ventilation equipment;